###-----------------------------------------------------------------------------
### Load packages
###-----------------------------------------------------------------------------
### Check for presence of packages:
### - userfriendlyscience
### - ufs
### - psych
### - here
### - car
### - careless
###-----------------------------------------------------------------------------
### Get most recent versions from GitLab
###-----------------------------------------------------------------------------
tryCatch(remotes::install_gitlab('r-packages/ufs',
error=invisible, quiet = TRUE,
dependencies=FALSE, upgrade=FALSE),
error=invisible);
## WARNING: Rtools is required to build R packages, but is not currently installed.
##
## Please download and install Rtools 3.5 from http://cran.r-project.org/bin/windows/Rtools/.
###-----------------------------------------------------------------------------
### Paths and files
###-----------------------------------------------------------------------------
repoPath <- here::here();
workingPath <- here::here("results-intermediate-output");
dataPath <- here::here("results-data");
### Regular expressions that match the private and public datafile names
privateDataFileRegEx <- '\\[PRIVATE]';
publicDataFileRegEx <- '\\[PUBLIC]';
behaviors <-
c("alcohol", "condoms", "exercise");
###-----------------------------------------------------------------------------
### Scale definitions
###-----------------------------------------------------------------------------
scales <- list();
scales$selfIdentitySelected <- c('Selfidentity_kindofperson',
'Selfidentity_seemyselfas',
'Selfidentity_concernedwithdoingtherightbehavior',
'Selfidentity_seemyselffollowingthebehaviorguideline');
scales$selfIdentity <- c('Self-identity:\nSomething I\nrarely think about' = 'Selfidentity_rarelythinkabout',
'Self-identity:\n' = 'Selfidentity_kindofperson',
'Self-identity:\n' = 'Selfidentity_seemyselfas',
'Self-identity:\n' = 'Selfidentity_concernedwithnotdoingthebehaviorenough',
'Self-identity:\n' = 'Selfidentity_doingbehaviorimportant',
'Self-identity:\n' = 'Selfidentity_importantpart',
'Self-identity:\n' = 'Selfidentity_seemyselffollowingthebehaviorguideline',
'Self-identity:\n' = 'Selfidentity_wouldfeelatalossgivingupwrongbehavior',
'Self-identity:\n' = 'Selfidentity_concernedwithdoingtherightbehavior',
'Self-identity:\n' = 'Selfidentity_wrongbehaviormeansmorethanjusttheact',
'Self-identity:\n' = 'Selfidentity_behaviormeansmoretantheactself');
scales$attitude <- c('Attitude_bad_good', 'Attitude_unpleasant_pleasant',
'Attitude_harmful_beneficial', 'Attitude_boring_interesting');
scales$importance <- c('Importancescale_unimportant_important',
'Importancescale_notessential_essential',
'Importancescale_notsignificant_significant');
scales$attitudeImportance <- c(scales$attitude, scales$importance);
scales$perceivedNorms <- c('Injunctivenorm_importantpeople',
'Injunctivenorm_mostpeopleapprove',
'Descriptivenorm_closefriends',
'Descriptivenorm_peoplelikeme');
scales$pbc <- c('Perceivedcontrol_forme',
'Perceivedcontrol_reallywantto',
'Perceivedcontrol_confident');
scales$intention <- c('Intention_intend',
'Intention2willing',
'Intention3expect');
scales$pastBehavior <- c('Past_haveused', 'Past_howoften');
scales$currentBehavior <- c('curBeh');
### Specify the items that have to be inverted for all datasets
invertedItems <- c('Selfidentity_rarelythinkabout',
'Selfidentity_wouldfeelatalossgivingupwrongbehavior');
### Specify measurement models
measurementModelSpecs <- list();
for (currentScale in names(scales)) {
measurementModelSpecs[[currentScale]] <- paste0(currentScale, ' =~ ',
paste0(scales[[currentScale]],
collapse=" + "));
}
###
nonSIvars <- scales[names(scales) != 'selfIdentity'];
### Generate abbreviated variable names
abbr <- abbreviate(names(scales));
Please click “Details” to see the code and output for this step in the analysis procedure.
###-----------------------------------------------------------------------------
### Columns that potentially identify participants
###-----------------------------------------------------------------------------
### This is
identifyingColumns <-
list(alcohol = c(1:10, 57:68),
condoms = c(1:10, 53:64),
exercise = c(1:10, 55:66));
###-----------------------------------------------------------------------------
### Anonymize data, if necessary
###-----------------------------------------------------------------------------
### Get a list of all data files in data directory
privateDataFiles <-
list.files(dataPath);
### Select only those matching the regular expression for
### private data files
privateDataFiles <-
grep(privateDataFileRegEx,
privateDataFiles,
value=TRUE);
if (length(privateDataFiles) > 0) {
### Private data files are present; this means we run on the PC
### of one of the researchers. That means we should sanitize the
### datasets and prepare them for publishing.
### Loop through the files
for (currentFilename in privateDataFiles) {
### Run within local, temporary namespace (so that all variables
### are deleted afterwards)
local({
### Read this dataset into a temporary, locally stored dataframe
dat <-
userfriendlyscience::getData(file.path(dataPath,
currentFilename), skip=1);
ufs::cat0("Read data file '", currentFilename, "'.\n");
### Identify which columns to use for this datafile
currentBehavior <-
names(identifyingColumns)[unlist(lapply(names(identifyingColumns),
grepl,
currentFilename))];
currentIdCols <-
identifyingColumns[[currentBehavior]];
### Anonymize the potentially identifying columns
for (currentVar in currentIdCols) {
dat[, currentVar] <-
anonymizer::anonymize(dat[, currentVar]);
}
### Construct new filename to write public version of data to
newTmpFilename <- sub(privateDataFileRegEx,
publicDataFileRegEx,
currentFilename);
### Store new datafile
write.csv(dat,
file.path(dataPath,
newTmpFilename),
row.names = FALSE);
ufs::cat0("Stored data file '", newTmpFilename, "'.\n");
}); ### End local namespace
}
}
## Read data file 'alcohol_[PRIVATE].csv'.
## Stored data file 'alcohol_[PUBLIC].csv'.
## Read data file 'condoms_[PRIVATE].csv'.
## Stored data file 'condoms_[PUBLIC].csv'.
## Read data file 'exercise_[PRIVATE].csv'.
## Stored data file 'exercise_[PUBLIC].csv'.
###-----------------------------------------------------------------------------
### Load public datafiles
###-----------------------------------------------------------------------------
### Get a list of all data files in data directory
publicDataFiles <-
list.files(dataPath);
### Select only those matching the regular expression for
### private data files
publicDataFiles <-
grep(publicDataFileRegEx,
publicDataFiles,
value=TRUE);
### Create object to store datafiles
dat <- list();
### Load datafiles into objects
for (currentDataset in publicDataFiles) {
### Read datafile from disk
dat[[currentDataset]] <-
userfriendlyscience::getData(file.path(dataPath,
currentDataset), skip=1);
}
names(dat) <-
behaviors;
dat.raw <- dat;
Please click “Details” to see the code and output for this step in the analysis procedure.
###-----------------------------------------------------------------------------
### Clean data
###-----------------------------------------------------------------------------
### Delete last variable (Qualtrics apparently ends lines with a comma?)
dat <-
lapply(dat,
function(x) {
return(x[, names(x) != 'X']);
});
### Apply nrow to each list element to see number of rows in the dataframes
lapply(dat, nrow);
## $alcohol
## [1] 302
##
## $condoms
## [1] 250
##
## $exercise
## [1] 250
### Sum sample sizes to get total sample size
sum(unlist(lapply(dat, nrow)));
## [1] 802
### Verify ranges for those variables with fixes answer options
### for each questionnaire (Qualtrics sometimes has odd minimum and
### maximum values)
lapply(dat.raw,
function(x) {
rws <- 16:(ncol(x)-13);
x <- ufs::massConvertToNumeric(x[, rws]);
lapply(x, range, na.rm=TRUE);
});
## $alcohol
## $alcohol$X9
## [1] 9 10
##
## $alcohol$NA..1
## [1] 1 1
##
## $alcohol$X1.1
## [1] 1 1
##
## $alcohol$X25
## [1] 20 26
##
## $alcohol$X44
## [1] 27 47
##
## $alcohol$X17
## [1] 14 20
##
## $alcohol$X10
## [1] 9 16
##
## $alcohol$X3
## [1] 1 7
##
## $alcohol$X4
## [1] 1 7
##
## $alcohol$X4.1
## [1] 1 7
##
## $alcohol$X5
## [1] 1 7
##
## $alcohol$X4.2
## [1] 1 7
##
## $alcohol$X5.1
## [1] 1 7
##
## $alcohol$X5.2
## [1] 1 7
##
## $alcohol$X1.2
## [1] 1 1
##
## $alcohol$X45
## [1] 40 47
##
## $alcohol$X3.1
## [1] 2 8
##
## $alcohol$X7
## [1] 1 8
##
## $alcohol$X18
## [1] 15 22
##
## $alcohol$X26
## [1] 22 28
##
## $alcohol$X12
## [1] 9 18
##
## $alcohol$X6
## [1] 1 7
##
## $alcohol$X1.3
## [1] 1 1
##
## $alcohol$X3.2
## [1] 1 7
##
## $alcohol$X3.3
## [1] 1 7
##
## $alcohol$X3.4
## [1] 1 7
##
## $alcohol$X5.3
## [1] 1 7
##
## $alcohol$X5.4
## [1] 1 7
##
## $alcohol$X2.2
## [1] 1 7
##
## $alcohol$X3.5
## [1] 1 7
##
## $alcohol$X3.6
## [1] 1 7
##
## $alcohol$X3.7
## [1] 1 7
##
## $alcohol$X2.3
## [1] 1 7
##
## $alcohol$X3.8
## [1] 1 7
##
## $alcohol$X3.9
## [1] 1 7
##
## $alcohol$X2.4
## [1] 1 7
##
## $alcohol$X5.5
## [1] 1 7
##
## $alcohol$X1.4
## [1] 1 7
##
## $alcohol$X1.5
## [1] 1 1
##
## $alcohol$X2.5
## [1] 1 7
##
## $alcohol$X32
## [1] 28 34
##
##
## $condoms
## $condoms$X9
## [1] 9 10
##
## $condoms$NA..1
## [1] 1 1
##
## $condoms$X1.2
## [1] 1 1
##
## $condoms$X25
## [1] 20 26
##
## $condoms$X27
## [1] 27 47
##
## $condoms$X19
## [1] 14 20
##
## $condoms$X16
## [1] 9 16
##
## $condoms$X6
## [1] 1 7
##
## $condoms$X5
## [1] 1 7
##
## $condoms$X7
## [1] 1 7
##
## $condoms$X6.1
## [1] 1 7
##
## $condoms$X5.1
## [1] 1 7
##
## $condoms$X6.2
## [1] 1 7
##
## $condoms$X6.3
## [1] 1 7
##
## $condoms$X1.3
## [1] 1 1
##
## $condoms$X46
## [1] 40 47
##
## $condoms$X7.1
## [1] 1 8
##
## $condoms$X7.2
## [1] 1 8
##
## $condoms$X20.1
## [1] 16 22
##
## $condoms$X25.1
## [1] 23 28
##
## $condoms$X12
## [1] 10 18
##
## $condoms$X6.4
## [1] 2 7
##
## $condoms$X1.4
## [1] 1 1
##
## $condoms$X5.2
## [1] 1 7
##
## $condoms$X4
## [1] 1 7
##
## $condoms$X5.3
## [1] 1 7
##
## $condoms$X5.4
## [1] 1 7
##
## $condoms$X6.5
## [1] 1 7
##
## $condoms$X5.5
## [1] 1 7
##
## $condoms$X4.1
## [1] 1 7
##
## $condoms$X2.1
## [1] 1 7
##
## $condoms$X5.6
## [1] 1 7
##
## $condoms$X5.7
## [1] 1 7
##
## $condoms$X3
## [1] 1 7
##
## $condoms$X1.5
## [1] 1 1
##
## $condoms$X6.6
## [1] 1 7
##
## $condoms$X33
## [1] 28 34
##
##
## $exercise
## $exercise$X1.1
## [1] 1 1
##
## $exercise$X24
## [1] 20 26
##
## $exercise$X27
## [1] 27 47
##
## $exercise$X18
## [1] 14 20
##
## $exercise$X15
## [1] 9 16
##
## $exercise$X6
## [1] 2 7
##
## $exercise$X5
## [1] 1 7
##
## $exercise$X6.1
## [1] 1 7
##
## $exercise$X5.1
## [1] 1 7
##
## $exercise$X5.2
## [1] 1 7
##
## $exercise$X6.2
## [1] 1 7
##
## $exercise$X6.3
## [1] 1 7
##
## $exercise$X1.2
## [1] 1 1
##
## $exercise$X46
## [1] 40 47
##
## $exercise$X6.4
## [1] 2 8
##
## $exercise$X7
## [1] 1 8
##
## $exercise$X20
## [1] 15 22
##
## $exercise$X27.1
## [1] 23 28
##
## $exercise$X12
## [1] 10 14
##
## $exercise$X6.5
## [1] 2 7
##
## $exercise$X1.3
## [1] 1 1
##
## $exercise$X6.6
## [1] 1 7
##
## $exercise$X5.3
## [1] 1 7
##
## $exercise$X6.7
## [1] 1 7
##
## $exercise$X6.8
## [1] 1 7
##
## $exercise$X6.9
## [1] 1 7
##
## $exercise$X6.10
## [1] 1 7
##
## $exercise$X5.4
## [1] 1 7
##
## $exercise$X5.5
## [1] 1 7
##
## $exercise$X6.11
## [1] 1 7
##
## $exercise$X6.12
## [1] 1 7
##
## $exercise$X6.13
## [1] 1 7
##
## $exercise$X6.14
## [1] 1 7
##
## $exercise$X5.6
## [1] 1 7
##
## $exercise$X5.7
## [1] 1 7
##
## $exercise$X5.8
## [1] 1 7
##
## $exercise$X1.4
## [1] 1 1
##
## $exercise$X5.9
## [1] 1 7
##
## $exercise$X33
## [1] 28 34
###-----------------------------------------------------------------------------
### Add a unique identifier to every participant
###-----------------------------------------------------------------------------
for (currentBehav in names(dat)) {
dat[[currentBehav]]$id <-
paste0(currentBehav,
"_",
1:nrow(dat[[currentBehav]]));
}
###-----------------------------------------------------------------------------
### Rename variables to a consistent naming scheme
###-----------------------------------------------------------------------------
### Note that the order of the dataframes (stored in 'behavior') is alcohol,
### condom use, and exercise.
names(dat[[1]])[1] <- 'ResponseID';
names(dat[[1]])[2] <- 'ResponseSet';
names(dat[[1]])[3] <- 'Name';
names(dat[[1]])[4] <- 'ExternalDataReference';
names(dat[[1]])[5] <- 'EmailAddress';
names(dat[[1]])[6] <- 'IPAddress';
names(dat[[1]])[7] <- 'Status';
names(dat[[1]])[8] <- 'StartDate';
names(dat[[1]])[9] <- 'EndDate';
names(dat[[1]])[10] <- 'Finished';
names(dat[[1]])[11] <- 'informedConsent';
names(dat[[1]])[12] <- 'age';
names(dat[[1]])[13] <- 'studyExit';
names(dat[[1]])[14] <- 'sex';
names(dat[[1]])[15] <- 'country';
names(dat[[1]])[16] <- 'selectionAlcohol';
names(dat[[1]])[17] <- 'negativeresponsSelectionAlcohol';
names(dat[[1]])[18] <- 'informationAlcohol';
names(dat[[1]])[19] <- 'Intention_intend';
names(dat[[1]])[20] <- 'Intention2willing';
names(dat[[1]])[21] <- 'Intention3expect';
names(dat[[1]])[22] <- 'curBeh';
names(dat[[1]])[23] <- 'Attitude_bad_good';
names(dat[[1]])[24] <- 'Attitude_unpleasant_pleasant';
names(dat[[1]])[25] <- 'Attitude_harmful_beneficial';
names(dat[[1]])[26] <- 'Attitude_boring_interesting';
names(dat[[1]])[27] <- 'Importancescale_unimportant_important';
names(dat[[1]])[28] <- 'Importancescale_notessential_essential';
names(dat[[1]])[29] <- 'Importancescale_notsignificant_significant';
names(dat[[1]])[30] <- 'information';
names(dat[[1]])[31] <- 'Injunctivenorm_importantpeople';
names(dat[[1]])[32] <- 'Injunctivenorm_mostpeopleapprove';
names(dat[[1]])[33] <- 'Descriptivenorm_closefriends';
names(dat[[1]])[34] <- 'Descriptivenorm_peoplelikeme';
names(dat[[1]])[35] <- 'Perceivedcontrol_forme';
names(dat[[1]])[36] <- 'Perceivedcontrol_reallywantto';
names(dat[[1]])[37] <- 'Perceivedcontrol_confident';
names(dat[[1]])[38] <- 'information';
names(dat[[1]])[39] <- 'Selfidentity_rarelythinkabout';
names(dat[[1]])[40] <- 'SelfidentityRestrainedAlcohol';
names(dat[[1]])[41] <- 'Selfidentity_kindofperson';
names(dat[[1]])[42] <- 'Selfidentity_restrainedalcoholimportant';
names(dat[[1]])[43] <- 'Selfidentity_doingbehaviorimportant';
names(dat[[1]])[44] <- 'Selfidentity_importantpart';
names(dat[[1]])[45] <- 'Selfidentity_seemyselfas';
names(dat[[1]])[46] <- 'Selfidentity_seemyselffollowingthebehaviorguideline';
names(dat[[1]])[47] <- 'Selfidentity_givingupalcoholdrinking';
names(dat[[1]])[48] <- 'Selfidentity_restrainedalcoholdrinkingmeansmore';
names(dat[[1]])[49] <- 'Selfidentity_wrongbehaviormeansmorethanjusttheact';
names(dat[[1]])[50] <- 'Selfidentity_behaviormeansmoretantheactself';
names(dat[[1]])[51] <- 'Selfidentity_concernedwithnotdoingthebehaviorenough';
names(dat[[1]])[52] <- 'Selfidentity_concernedwithdoingtherightbehavior';
names(dat[[1]])[53] <- 'Selfidentity_wouldfeelatalossgivingupwrongbehavior';
names(dat[[1]])[54] <- 'information';
names(dat[[1]])[55] <- 'Past_haveused';
names(dat[[1]])[56] <- 'Past_howoften';
names(dat[[1]])[57] <- 'VerificationWorkerID';
names(dat[[1]])[58] <- 'Endscreen';
names(dat[[1]])[59] <- 'Browser.Meta.Info.Browser';
names(dat[[1]])[60] <- 'Browser.Meta.Info.Version';
names(dat[[1]])[61] <- 'Browser.Meta.Info.Operating.System';
names(dat[[1]])[62] <- 'Browser.Meta.Info.Screen.Resolution';
names(dat[[1]])[63] <- 'Browser.Meta.Info.Flash.Version';
names(dat[[1]])[64] <- 'Browser.Meta.Info.Java.Support';
names(dat[[1]])[65] <- 'Browser.Meta.Info.User.Agent';
names(dat[[1]])[66] <- 'LocationLatitude';
names(dat[[1]])[67] <- 'LocationLongitude';
names(dat[[1]])[68] <- 'LocationAccuracy';
names(dat[[2]])[1] <- 'ResponseID';
names(dat[[2]])[2] <- 'ResponseSet';
names(dat[[2]])[3] <- 'Name';
names(dat[[2]])[4] <- 'ExternalDataReference';
names(dat[[2]])[5] <- 'EmailAddress';
names(dat[[2]])[6] <- 'IPAddress';
names(dat[[2]])[7] <- 'Status';
names(dat[[2]])[8] <- 'StartDate';
names(dat[[2]])[9] <- 'EndDate ';
names(dat[[2]])[10] <- 'Finished';
names(dat[[2]])[11] <- 'informedConsent';
names(dat[[2]])[12] <- 'age';
names(dat[[2]])[13] <- 'studyExit';
names(dat[[2]])[14] <- 'sex';
names(dat[[2]])[15] <- 'country';
names(dat[[2]])[16] <- 'selectionCondom';
names(dat[[2]])[17] <- 'studyExit';
names(dat[[2]])[18] <- 'information';
names(dat[[2]])[19] <- 'Intention_intend';
names(dat[[2]])[20] <- 'Intention2willing';
names(dat[[2]])[21] <- 'Intention3expect';
names(dat[[2]])[22] <- 'curBeh';
names(dat[[2]])[23] <- 'Attitude_bad_good';
names(dat[[2]])[24] <- 'Attitude_unpleasant_pleasant';
names(dat[[2]])[25] <- 'Attitude_harmful_beneficial';
names(dat[[2]])[26] <- 'Attitude_boring_interesting';
names(dat[[2]])[27] <- 'Importancescale_unimportant_important';
names(dat[[2]])[28] <- 'Importancescale_notessential_essential';
names(dat[[2]])[29] <- 'Importancescale_notsignificant_significant';
names(dat[[2]])[30] <- 'information';
names(dat[[2]])[31] <- 'Injunctivenorm_importantpeople';
names(dat[[2]])[32] <- 'Injunctivenorm_mostpeopleapprove';
names(dat[[2]])[33] <- 'Descriptivenorm_closefriends';
names(dat[[2]])[34] <- 'Descriptivenorm_peoplelikeme';
names(dat[[2]])[35] <- 'Perceivedcontrol_forme';
names(dat[[2]])[36] <- 'Perceivedcontrol_reallywantto';
names(dat[[2]])[37] <- 'Perceivedcontrol_confident';
names(dat[[2]])[38] <- 'information';
names(dat[[2]])[39] <- 'Selfidentity_rarelythinkabout';
names(dat[[2]])[40] <- 'Selfidentity_kindofperson';
names(dat[[2]])[41] <- 'Selfidentity_importantpart';
names(dat[[2]])[42] <- 'Selfidentity_doingbehaviorimportant';
names(dat[[2]])[43] <- 'Selfidentity_seemyselfas';
names(dat[[2]])[44] <- 'Selfidentity_behaviormeansmoretantheactself';
names(dat[[2]])[45] <- 'Selfidentity_seemyselffollowingthebehaviorguideline';
names(dat[[2]])[46] <- 'Selfidentity_concernedwithnotdoingthebehaviorenough';
names(dat[[2]])[47] <- 'Selfidentity_concernedwithdoingtherightbehavior';
names(dat[[2]])[48] <- 'Selfidentity_wouldfeelatalossgivingupwrongbehavior';
names(dat[[2]])[49] <- 'Selfidentity_wrongbehaviormeansmorethanjusttheact';
names(dat[[2]])[50] <- 'information';
names(dat[[2]])[51] <- 'Past_haveused';
names(dat[[2]])[52] <- 'Past_howoften';
names(dat[[2]])[53] <- 'VerificationWorkerID';
names(dat[[2]])[54] <- 'Endscreen';
names(dat[[2]])[55] <- 'Browser.Meta.Info.Browser';
names(dat[[2]])[56] <- 'Browser.Meta.Info.Version';
names(dat[[2]])[57] <- 'Browser.Meta.Info.Operating.System';
names(dat[[2]])[58] <- 'Browser.Meta.Info.Screen.Resolution';
names(dat[[2]])[59] <- 'Browser.Meta.Info.Flash.Version';
names(dat[[2]])[60] <- 'Browser.Meta.Info.Java.Support';
names(dat[[2]])[61] <- 'Browser.Meta.Info.User.Agent';
names(dat[[2]])[62] <- 'LocationLatitude';
names(dat[[2]])[63] <- 'LocationLongitude';
names(dat[[2]])[64] <- 'LocationAccuracy';
names(dat[[3]])[1] <- 'ResponseID';
names(dat[[3]])[2] <- 'ResponseSet';
names(dat[[3]])[3] <- 'Name';
names(dat[[3]])[4] <- 'ExternalDataReference';
names(dat[[3]])[5] <- 'EmailAddress';
names(dat[[3]])[6] <- 'IPAddress';
names(dat[[3]])[7] <- 'Status';
names(dat[[3]])[8] <- 'StartDate';
names(dat[[3]])[9] <- 'EndDate';
names(dat[[3]])[10] <- 'Finished';
names(dat[[3]])[11] <- 'informedConsent';
names(dat[[3]])[12] <- 'age';
names(dat[[3]])[13] <- 'studyExit';
names(dat[[3]])[14] <- 'sex';
names(dat[[3]])[15] <- 'country';
names(dat[[3]])[16] <- 'information';
names(dat[[3]])[17] <- 'Intention_intend';
names(dat[[3]])[18] <- 'Intention2willing';
names(dat[[3]])[19] <- 'Intention3expect';
names(dat[[3]])[20] <- 'curBeh';
names(dat[[3]])[21] <- 'Attitude_bad_good';
names(dat[[3]])[22] <- 'Attitude_unpleasant_pleasant';
names(dat[[3]])[23] <- 'Attitude_harmful_beneficial';
names(dat[[3]])[24] <- 'Attitude_boring_interesting';
names(dat[[3]])[25] <- 'Importancescale_unimportant_important';
names(dat[[3]])[26] <- 'Importancescale_notessential_essential';
names(dat[[3]])[27] <- 'Importancescale_notsignificant_significant';
names(dat[[3]])[28] <- 'information';
names(dat[[3]])[29] <- 'Injunctivenorm_importantpeople';
names(dat[[3]])[30] <- 'Injunctivenorm_mostpeopleapprove';
names(dat[[3]])[31] <- 'Descriptivenorm_closefriends';
names(dat[[3]])[32] <- 'Descriptivenorm_peoplelikeme';
names(dat[[3]])[33] <- 'Perceivedcontrol_forme';
names(dat[[3]])[34] <- 'Perceivedcontrol_reallywantto';
names(dat[[3]])[35] <- 'Perceivedcontrol_confident';
names(dat[[3]])[36] <- 'information';
names(dat[[3]])[37] <- 'Selfidentity_rarelythinkabout';
names(dat[[3]])[38] <- 'Selfidentity_kindofperson';
names(dat[[3]])[39] <- 'Selfidentity_exercisingenoughimportant';
names(dat[[3]])[40] <- 'Selfidentity_notthinkingaboutexercisingregularly';
names(dat[[3]])[41] <- 'Selfidentity_seemyselfas';
names(dat[[3]])[42] <- 'Selfidentity_concernedwithnotdoingthebehaviorenough';
names(dat[[3]])[43] <- 'Selfidentity_doingbehaviorimportant';
names(dat[[3]])[44] <- 'Selfidentity_importantpart';
names(dat[[3]])[45] <- 'Selfidentity_seemyselffollowingthebehaviorguideline';
names(dat[[3]])[46] <- 'Selfidentity_wouldfeelatalossgivingupwrongbehavior';
names(dat[[3]])[47] <- 'Selfidentity_lossgivingupexercising';
names(dat[[3]])[48] <- 'Selfidentity_concernedwithdoingtherightbehavior';
names(dat[[3]])[49] <- 'Selfidentity_exercisingenoughmeansmore';
names(dat[[3]])[50] <- 'Selfidentity_wrongbehaviormeansmorethanjusttheact';
names(dat[[3]])[51] <- 'Selfidentity_behaviormeansmoretantheactself';
names(dat[[3]])[52] <- 'information';
names(dat[[3]])[53] <- 'Past_haveused';
names(dat[[3]])[54] <- 'Past_howoften';
names(dat[[3]])[55] <- 'VerificationWorkerID';
names(dat[[3]])[56] <- 'Endscreen';
names(dat[[3]])[57] <- 'Browser.Meta.Info.Browser';
names(dat[[3]])[58] <- 'Browser.Meta.Info.Version';
names(dat[[3]])[59] <- 'Browser.Meta.Info.Operating.System';
names(dat[[3]])[60] <- 'Browser.Meta.Info.Screen.Resolution';
names(dat[[3]])[61] <- 'Browser.Meta.Info.Flash.Version';
names(dat[[3]])[62] <- 'Browser.Meta.Info.Java.Support';
names(dat[[3]])[63] <- 'Browser.Meta.Info.User.Agent';
names(dat[[3]])[64] <- 'LocationLatitude';
names(dat[[3]])[65] <- 'LocationLongitude';
names(dat[[3]])[66] <- 'LocationAccuracy';
Please click “Details” to see the code and output for this step in the analysis procedure.
###-----------------------------------------------------------------------------
### Recode the variables
###-----------------------------------------------------------------------------
### All three behaviors
dat <-
lapply(dat, function(x) {
### This is mostly to fix some weird codings from Qualtrics
x$Intention_intend <-
car::recode(x$Intention_intend, "20=1; 21=2; 22=3; 23=4; 24=5; 25=6; 26=7");
x$Intention2willing <-
car::recode(x$Intention2willing, "43=1; 44=2; 45=3; 46=4; 47=5; 27=6; 28=7");
x$Intention3expect <-
car::recode(x$Intention3expect, "14=1; 15=2; 16=3; 17=4; 18=5; 19=6; 20=7");
x$curBeh <-
car::recode(x$curBeh, "9=1; 10=2; 11=3; 12=4; 14=5; 15=6; 16=7");
x$Injunctivenorm_importantpeople <-
car::recode(x$Injunctivenorm_importantpeople, "40=1; 41=2; 42=3; 43=4; 44=5; 45=6; 46=7; 47=NA");
x$Descriptivenorm_peoplelikeme <-
car::recode(x$Descriptivenorm_peoplelikeme, "15=1; 16=2; 17=3; 18=4; 19=5; 20=6; 21=7; 22=NA");
x$Perceivedcontrol_forme <-
car::recode(x$Perceivedcontrol_forme, "22=1; 23=2; 24=3; 25=4; 26=5; 27=6; 28=7");
x$Perceivedcontrol_reallywantto <-
car::recode(x$Perceivedcontrol_reallywantto, "9=1; 18=2; 10=3; 11=4; 12=5; 13=6; 14=7");
x$Past_howoften <-
car::recode(x$Past_howoften, "28=1; 29=2; 30=3; 31=4; 32=5; 33=6; 34=7");
### We still have to decide what to do with people who say "don't know" - currently,
### setting it to 3.9999, which approaches 4, but is still recognizable.
x$Descriptivenorm_closefriends <-
car::recode(x$Descriptivenorm_closefriends, "8=3.9999");
x$Injunctivenorm_mostpeopleapprove <-
car::recode(x$Injunctivenorm_mostpeopleapprove, "8=3.9999");
# x$Injunctivenorm_importantpeople[which(is.na(x$Injunctivenorm_importantpeople))] <-
# mean(x$Injunctivenorm_importantpeople, na.rm = TRUE);
# x$Descriptivenorm_peoplelikeme[which(is.na(x$Descriptivenorm_peoplelikeme))] <-
# mean(x$Descriptivenorm_peoplelikeme, na.rm = TRUE);
# x$Descriptivenorm_closefriends[which(is.na(x$Descriptivenorm_closefriends))] <-
# mean(x$Descriptivenorm_closefriends, na.rm = TRUE);
# x$Injunctivenorm_mostpeopleapprove[which(is.na(x$Injunctivenorm_mostpeopleapprove))] <-
# mean(x$Injunctivenorm_mostpeopleapprove, na.rm = TRUE);
### Inversions for all datasets
x <-
userfriendlyscience::invertItems(x, invertedItems);
return(x);
});
### Alcohol only
dat[[1]]$selectionAlcohol <-
userfriendlyscience::invertItem(dat[[1]]$selectionAlcohol - 9);
dat[[1]]$SelfidentityRestrainedAlcohol <-
userfriendlyscience::invertItem(dat[[1]]$SelfidentityRestrainedAlcohol);
dat[[1]]$Selfidentity_importantpart <-
userfriendlyscience::invertItem(dat[[1]]$Selfidentity_importantpart, c(1, 6));
dat[[1]]$Selfidentity_givingupalcoholdrinking <-
userfriendlyscience::invertItem(dat[[1]]$Selfidentity_givingupalcoholdrinking, c(1, 6));
dat[[1]]$Selfidentity_behaviormeansmoretantheactself <-
userfriendlyscience::invertItem(dat[[1]]$Selfidentity_behaviormeansmoretantheactself, c(1, 6));
### Exercise only
dat[[3]]$Selfidentity_notthinkingaboutexercisingregularly <-
userfriendlyscience::invertItem(dat[[3]]$Selfidentity_notthinkingaboutexercisingregularly, c(1, 6));
dat[[3]]$Selfidentity_exercisingenoughimportant <-
userfriendlyscience::invertItem(dat[[3]]$Selfidentity_exercisingenoughimportant, c(1, 6));
dat[[3]]$Selfidentity_exercisingenoughmeansmore <-
userfriendlyscience::invertItem(dat[[3]]$Selfidentity_exercisingenoughmeansmore, c(1, 6));
Please click “Details” to see the code and output for this step in the analysis procedure.
###-----------------------------------------------------------------------------
### Splitting datasets per country
###-----------------------------------------------------------------------------
for (i in behaviors) {
dat[[paste0(i, '_us')]] <-
dat[[i]][dat[[i]]$country == 1, ];
dat[[paste0(i, '_india')]] <-
dat[[i]][dat[[i]]$country == 2, ];
}
Please click “Details” to see the code and output for this step in the analysis procedure.
###-----------------------------------------------------------------------------
### Create the scales and add them to the dataframes
###-----------------------------------------------------------------------------
for (i in names(dat)) {
dat[[i]] <-
ufs::makeScales(dat[[i]], scales);
}
### Store dataframes in other object and create new
### object with only the six separate samples
datFull <-
dat;
dat <-
dat[grepl("_", names(dat))];
Please click “Details” to see the code and output for this step in the analysis procedure.
###-----------------------------------------------------------------------------
### Remove participants that were screened out
###-----------------------------------------------------------------------------
### Participants who were screened out have a non-NA value for 'studyExit'
for (currentDataset in names(dat)) {
dat[[currentDataset]] <-
dat[[currentDataset]][is.na(dat[[currentDataset]]$studyExit), ];
}
###-----------------------------------------------------------------------------
### Detect straightlining and careless participants
###-----------------------------------------------------------------------------
suspectParticipants <-
list();
for (currentDataset in names(dat)) {
### Get a vector with only the numeric variables
numericVars <-
unlist(lapply(dat[[currentDataset]], is.numeric));
### Store results from the `careless` package functions
suspectParticipants[[currentDataset]] <-
list(longstring = careless::longstring(dat[[currentDataset]][, numericVars]),
irv = careless::irv(dat[[currentDataset]][, numericVars],
split = TRUE,
num.split = 4)
### The mahalanobis function gives an error:
### Error in solve.default(Sx) :
### Lapack routine dgesv: system is exactly singular: U[1,1] = 0
# , mahalanobis = careless::mahad(dat[[currentDataset]][, numericVars])
);
### Some housecleaning
rm(numericVars);
}
### Show box plots for longstring
for (currentDataset in names(dat)) {
ufs::cat0("\n\n#### Longstring analysis for ", currentDataset, "\n\n");
userfriendlyscience::knitFig(
userfriendlyscience::ggBoxplot(data.frame(longstring=suspectParticipants[[currentDataset]]$longstring,
id=dat[[currentDataset]]$id),
y='longstring'),
figCaption=paste0("Boxplot for longstring in ", currentDataset));
longstringThreshold <-
min(boxplot(suspectParticipants[[currentDataset]]$longstring)$out);
longStringTooHigh <-
suspectParticipants[[currentDataset]]$longstring >= longstringThreshold;
ufs::cat0("\n\n**Ids of outliers in this boxplot:** ",
ufs::vecTxtQ(dat[[currentDataset]][longStringTooHigh, 'id']), "\n\n");
### Some housekeeping
rm(longstringThreshold);
}
Boxplot for longstring in alcohol_us
Ids of outliers in this boxplot: ‘alcohol_131’, ‘alcohol_140’, ‘alcohol_175’, ‘alcohol_188’, ‘alcohol_190’, ‘alcohol_205’ & ‘alcohol_220’
Boxplot for longstring in alcohol_india
Ids of outliers in this boxplot: ‘alcohol_39’
Boxplot for longstring in condoms_us
Ids of outliers in this boxplot: ‘condoms_223’
Boxplot for longstring in condoms_india
## Warning in min(boxplot(suspectParticipants[[currentDataset]]$longstring)
## $out): no non-missing arguments to min; returning Inf
Ids of outliers in this boxplot: ’’
Boxplot for longstring in exercise_us
Ids of outliers in this boxplot: ‘exercise_116’, ‘exercise_140’, ‘exercise_144’, ‘exercise_146’, ‘exercise_153’, ‘exercise_171’, ‘exercise_175’, ‘exercise_176’, ‘exercise_230’ & ‘exercise_238’
Boxplot for longstring in exercise_india
## Warning in min(boxplot(suspectParticipants[[currentDataset]]$longstring)
## $out): no non-missing arguments to min; returning Inf
Ids of outliers in this boxplot: ’’
### Do something with the IRV
Please click “Details” to see the code and output for this step in the analysis procedure.
###-----------------------------------------------------------------------------
### Create the scales and add them to the dataframes
###-----------------------------------------------------------------------------
for (currentDataset in names(dat)) {
### Store new datafile
write.csv(dat[[currentDataset]],
file.path(dataPath,
paste0(currentDataset, "_processed.csv")),
row.names = FALSE);
ufs::cat0("Stored data file '", currentDataset, "_processed.csv'.\n");
}
## Stored data file 'alcohol_us_processed.csv'.
## Stored data file 'alcohol_india_processed.csv'.
## Stored data file 'condoms_us_processed.csv'.
## Stored data file 'condoms_india_processed.csv'.
## Stored data file 'exercise_us_processed.csv'.
## Stored data file 'exercise_india_processed.csv'.
for (currentDataset in names(dat)) {
cat("\n\n###", currentDataset, "\n\n");
tryCatch(
ufs::CIM(data = dat[[currentDataset]],
scales=scales,
skipRegex = c("^attitude$|^importance$",
"^attitudeImportance$"),
outputFile = file.path(workingPath,
paste0(currentDataset, ".png"))),
error = function(e) {
cat("\n\nEncountered error:\v ",
e$message,
"\n\n");
});
}
##
##
## ### alcohol_us
##
##
|
| | 0%
|
|= | 1%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|= | 2%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|== | 3%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=== | 4%
|
|=== | 5%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|==== | 6%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===== | 7%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|===== | 8%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====== | 9%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======= | 10%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|======= | 11%
|
|======== | 12%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========= | 13%
|
|========= | 14%
|
|========== | 15%
|
|=========== | 16%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=========== | 17%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============ | 18%
|
|============ | 19%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============= | 20%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============== | 21%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============== | 22%
|
|=============== | 23%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================ | 24%
|
|================ | 25%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|================= | 26%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================== | 27%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================== | 28%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================== | 29%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|==================== | 30%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|==================== | 31%
|
|===================== | 32%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================== | 33%
|
|====================== | 34%
|
|======================= | 35%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================== | 36%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================== | 37%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================= | 38%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================== | 39%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|========================== | 40%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========================== | 41%
|
|============================ | 42%
|
|============================ | 43%
|
|============================= | 44%
|
|============================== | 45%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============================== | 46%
|
|=============================== | 47%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================ | 48%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================ | 49%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================= | 51%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================= | 52%
|
|================================== | 53%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|=================================== | 54%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================================== | 55%
|
|==================================== | 56%
|
|===================================== | 57%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|===================================== | 58%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================================== | 59%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================================= | 60%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======================================= | 61%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================== | 62%
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
##
|
|========================================= | 63%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================= | 64%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================== | 65%
|
|=========================================== | 66%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========================================== | 67%
|
|============================================ | 68%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============================================= | 69%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================================= | 70%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================== | 71%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=============================================== | 72%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=============================================== | 73%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================ | 74%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================= | 75%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================= | 76%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================================== | 77%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=================================================== | 78%
|
|=================================================== | 79%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|==================================================== | 80%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|===================================================== | 81%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|===================================================== | 82%
|
|====================================================== | 83%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|====================================================== | 84%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================================= | 85%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================================== | 86%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================================== | 87%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================================= | 88%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================================== | 89%
|
|========================================================== | 90%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=========================================================== | 91%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 92%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 93%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================= | 94%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 95%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 96%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=============================================================== | 97%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 98%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 99%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=================================================================| 100%
##
##
## ### alcohol_india
##
##
|
| | 0%
|
|= | 1%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|= | 2%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|== | 3%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=== | 4%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=== | 5%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|==== | 6%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|===== | 7%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|===== | 8%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|====== | 9%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======= | 10%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|======= | 11%
|
|======== | 12%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========= | 13%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========= | 14%
|
|========== | 15%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=========== | 16%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=========== | 17%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============ | 18%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============ | 19%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============= | 20%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============== | 21%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============== | 22%
|
|=============== | 23%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================ | 24%
|
|================ | 25%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================= | 26%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================== | 27%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================== | 28%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================== | 29%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|==================== | 30%
|
|==================== | 31%
|
|===================== | 32%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|====================== | 33%
|
|====================== | 34%
|
|======================= | 35%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================== | 36%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================== | 37%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========================= | 38%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================== | 39%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|========================== | 40%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========================== | 41%
|
|============================ | 42%
|
|============================ | 43%
|
|============================= | 44%
|
|============================== | 45%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============================== | 46%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=============================== | 47%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================ | 48%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================ | 49%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================= | 51%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================= | 52%
|
|================================== | 53%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=================================== | 54%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=================================== | 55%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|==================================== | 56%
|
|===================================== | 57%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|===================================== | 58%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================================== | 59%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================= | 60%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======================================= | 61%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================== | 62%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================= | 63%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================= | 64%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========================================== | 65%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=========================================== | 66%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=========================================== | 67%
|
|============================================ | 68%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============================================= | 69%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============================================= | 70%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================== | 71%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=============================================== | 72%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=============================================== | 73%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================================ | 74%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================= | 75%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================= | 76%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================================== | 77%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================================================== | 78%
|
|=================================================== | 79%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|==================================================== | 80%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|===================================================== | 81%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===================================================== | 82%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|====================================================== | 83%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|====================================================== | 84%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================================= | 85%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================================== | 86%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================================================== | 87%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================================= | 88%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================================== | 89%
|
|========================================================== | 90%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=========================================================== | 91%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 92%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 93%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================= | 94%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 95%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 96%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=============================================================== | 97%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 98%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 99%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=================================================================| 100%
##
##
## ### condoms_us
##
##
|
| | 0%
|
|= | 1%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|= | 2%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|== | 3%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=== | 4%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=== | 5%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|==== | 6%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===== | 7%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|===== | 8%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|====== | 9%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======= | 10%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|======= | 11%
|
|======== | 12%
|
|========= | 13%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========= | 14%
|
|========== | 15%
|
|=========== | 16%
|
|=========== | 17%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============ | 18%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|============ | 19%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============= | 20%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============== | 21%
|
|============== | 22%
|
|=============== | 23%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================ | 24%
|
|================ | 25%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================= | 26%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================== | 27%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================== | 28%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=================== | 29%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|==================== | 30%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|==================== | 31%
|
|===================== | 32%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================== | 33%
|
|====================== | 34%
|
|======================= | 35%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================== | 36%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================== | 37%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================= | 38%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================== | 39%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|========================== | 40%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========================== | 41%
|
|============================ | 42%
|
|============================ | 43%
|
|============================= | 44%
|
|============================== | 45%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================== | 46%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=============================== | 47%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================ | 48%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================ | 49%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================= | 51%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================= | 52%
|
|================================== | 53%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=================================== | 54%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=================================== | 55%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|==================================== | 56%
|
|===================================== | 57%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===================================== | 58%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|====================================== | 59%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================= | 60%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======================================= | 61%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================== | 62%
|
|========================================= | 63%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================= | 64%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================== | 65%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=========================================== | 66%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========================================== | 67%
|
|============================================ | 68%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================================= | 69%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================================= | 70%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================== | 71%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=============================================== | 72%
|
|=============================================== | 73%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================================ | 74%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================================= | 75%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================================= | 76%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================================== | 77%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=================================================== | 78%
|
|=================================================== | 79%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|==================================================== | 80%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|===================================================== | 81%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|===================================================== | 82%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|====================================================== | 83%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================================================== | 84%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================================= | 85%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================================================== | 86%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================================== | 87%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================================= | 88%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|========================================================== | 89%
|
|========================================================== | 90%
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=========================================================== | 91%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 92%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 93%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================= | 94%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 95%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 96%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=============================================================== | 97%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 98%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 99%
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=================================================================| 100%
##
##
## ### condoms_india
##
##
|
| | 0%
|
|= | 1%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|= | 2%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|== | 3%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=== | 4%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=== | 5%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|==== | 6%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|===== | 7%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|===== | 8%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|====== | 9%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======= | 10%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|======= | 11%
|
|======== | 12%
|
|========= | 13%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========= | 14%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========== | 15%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=========== | 16%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=========== | 17%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============ | 18%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============ | 19%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============= | 20%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============== | 21%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : An ultra-Heywood case was detected. Examine the results carefully
##
|
|============== | 22%
|
|=============== | 23%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================ | 24%
|
|================ | 25%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================= | 26%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================== | 27%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================== | 28%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|=================== | 29%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|==================== | 30%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|==================== | 31%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===================== | 32%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================== | 33%
|
|====================== | 34%
|
|======================= | 35%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================== | 36%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================== | 37%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================= | 38%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========================== | 39%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|========================== | 40%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=========================== | 41%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================ | 42%
|
|============================ | 43%
|
|============================= | 44%
|
|============================== | 45%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================== | 46%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=============================== | 47%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================ | 48%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================ | 49%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================= | 51%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================= | 52%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================== | 53%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================================== | 54%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================================== | 55%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|==================================== | 56%
|
|===================================== | 57%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|===================================== | 58%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|====================================== | 59%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================================= | 60%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======================================= | 61%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================== | 62%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========================================= | 63%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================= | 64%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================== | 65%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========================================== | 66%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=========================================== | 67%
|
|============================================ | 68%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============================================= | 69%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============================================= | 70%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================== | 71%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=============================================== | 72%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=============================================== | 73%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================ | 74%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================= | 75%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================= | 76%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================================== | 77%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=================================================== | 78%
|
|=================================================== | 79%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|==================================================== | 80%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|===================================================== | 81%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|===================================================== | 82%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================================================== | 83%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|====================================================== | 84%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================================================= | 85%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================================================== | 86%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================================== | 87%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========================================================= | 88%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================================== | 89%
|
|========================================================== | 90%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=========================================================== | 91%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 92%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 93%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================= | 94%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 95%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 96%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=============================================================== | 97%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 98%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 99%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=================================================================| 100%
##
##
## ### exercise_us
##
##
|
| | 0%
|
|= | 1%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|= | 2%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|== | 3%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=== | 4%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=== | 5%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|==== | 6%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===== | 7%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|===== | 8%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|====== | 9%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======= | 10%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|======= | 11%
|
|======== | 12%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|========= | 13%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========= | 14%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========== | 15%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=========== | 16%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========== | 17%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============ | 18%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|============ | 19%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============= | 20%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============== | 21%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============== | 22%
|
|=============== | 23%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================ | 24%
|
|================ | 25%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================= | 26%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================== | 27%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================== | 28%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|=================== | 29%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|==================== | 30%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|==================== | 31%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|===================== | 32%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|====================== | 33%
|
|====================== | 34%
|
|======================= | 35%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|======================== | 36%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================== | 37%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================= | 38%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================== | 39%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|========================== | 40%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=========================== | 41%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================ | 42%
|
|============================ | 43%
|
|============================= | 44%
|
|============================== | 45%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================== | 46%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|=============================== | 47%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================ | 48%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================ | 49%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================= | 51%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================= | 52%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|================================== | 53%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================================== | 54%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================================== | 55%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|==================================== | 56%
|
|===================================== | 57%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===================================== | 58%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|====================================== | 59%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================= | 60%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======================================= | 61%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================== | 62%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================= | 63%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs =
## np.obs, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|========================================= | 64%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================== | 65%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=========================================== | 66%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=========================================== | 67%
|
|============================================ | 68%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|============================================= | 69%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|============================================= | 70%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================== | 71%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=============================================== | 72%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=============================================== | 73%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================================ | 74%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================================= | 75%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|================================================= | 76%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|================================================== | 77%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|=================================================== | 78%
|
|=================================================== | 79%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|==================================================== | 80%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|===================================================== | 81%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===================================================== | 82%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====================================================== | 83%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negative
##
|
|====================================================== | 84%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================================= | 85%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|======================================================== | 86%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|======================================================== | 87%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================================= | 88%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|========================================================== | 89%
|
|========================================================== | 90%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=========================================================== | 91%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 92%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================ | 93%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================= | 94%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 95%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|============================================================== | 96%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=============================================================== | 97%
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate =
## rotate, : A loading greater than abs(1) was detected. Examine the loadings
## carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 98%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|================================================================ | 99%
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|=================================================================| 100%
##
##
## ### exercise_india
##
##
|
| | 0%
|
|= | 1%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|= | 2%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|== | 3%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|=== | 4%
|
|=== | 5%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
##
|
|==== | 6%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
##
|
|===== | 7%
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|===== | 8%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in GPFoblq(L, Tmat = Tmat, normalize = normalize, eps = eps, maxit
## = maxit, : convergence not obtained in GPFoblq. 1000 iterations used.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
##
|
|====== | 9%
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs
## = np.obs, : The estimated weights for the factor scores are probably
## incorrect. Try a different factor extraction method.
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## An ultra-Heywood case was detected. Examine the results carefully
## Warning in fac(X, nfactors = nfactors, rotate = rotate, scores = "none", :
## A loading greater than abs(1) was detected. Examine the loadings carefully.
## Warning in lavTestLRT(object = new("lavaan", version = "0.6.3", call =
## lavaan::lavaan(model = oneFactor, : lavaan WARNING: some models have the
## same degrees of freedom
##
|
|======= | 10%
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
##
|
|======= | 11%
|
|======== | 12%
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
## Warning in lavaan::lavaan(model = oneFactor, data = data, model.type = "cfa", : lavaan WARNING: not all elements of the gradient are (near) zero;
## the optimizer may not have found a local solution;
## use lavInspect(fit, "optim.gradient") to investigate
## Warning in lavaan::lavaan(model = twoFactor, data = data, model.type = "cfa", : lavaan WARNING: not all elements of the gradient are (near) zero;
## the optimizer may not have found a local solution;
## use lavInspect(fit, "optim.gradient") to investigate
##
|
|========= | 13%
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
## Warning in lavaan::lavaan(model = oneFactor, data = data, model.type = "cfa", : lavaan WARNING: not all elements of the gradient are (near) zero;
## the optimizer may not have found a local solution;
## use lavInspect(fit, "optim.gradient") to investigate
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
## Warning in lavaan::lavaan(model = twoFactor, data = data, model.type = "cfa", : lavaan WARNING: not all elements of the gradient are (near) zero;
## the optimizer may not have found a local solution;
## use lavInspect(fit, "optim.gradient") to investigate
##
|
|========= | 14%
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## Could not compute standard errors! The information matrix could
## not be inverted. This may be a symptom that the model is not
## identified.
## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING: not all elements of the gradient are (near) zero;
## the optimizer may not have found a local solution;
## use lavInspect(fit, "optim.gradient") to investigate
##
|
|========== | 15%
|
|=========== | 16%
## Warning in lavaan::lavaan(model = oneFactor, data = data, model.type =
## "cfa", : lavaan WARNING: the optimizer warns that a solution has NOT been
## found!
## Warning in lavaan::lavaan(model = twoFactor, data = data, model.type =
## "cfa", : lavaan WARNING: the optimizer warns that a solution has NOT been
## found!
##
##
## Encountered error: lavaan ERROR: model did not converge